Open AccessMulti-level Image Classification Using Fuzzy Petri Net
Author(s) -
Marina Ivašić-Kos,
Slobodan Ribarić,
Ivo Ipšić
Publication year - 2022
Publication title -
international journal of fuzzy systems and advanced applications
Language(s) - English
Resource type - Journals
ISSN - 2313-0512
DOI - 10.46300/91017.2022.9.8
Subject(s) - petri net , knowledge representation and reasoning , notation , computer science , artificial intelligence , inference , fuzzy logic , formalism (music) , visualization , pattern recognition (psychology) , mathematics , theoretical computer science , data mining , algorithm , art , musical , arithmetic , visual arts
For a multi-level image classification, a knowledge representation scheme based on Fuzzy Petri Net with fuzzy inference algorithms is used. A simple graphical Petri net notation and a welldefined semantics displaying the process of reasoning through inference trees are used for visualization of the knowledge base and explanations of derived conclusion. Used knowledge representation formalism has the ability to show a probability of concepts and relations. The procedures of image multi-level classification using fuzzy recognition and inheritance algorithms on a knowledge representation scheme, as well as experimental results of image semantic interpretation, are presented.